Titanic-ML-Challenge

Using Machine Learning to predict what sorts of people are likely to survive

About

• I used different types of classifiers like Decision Tree, Random Forest and Gradient Boosting.
• The Gradient Boosting classifier gave an accuracy of 82.01%.
• I also preprocessed the datset and removed unwanted features like name, ticket, home.dest, body, cabin, boat.
• I used cross-validation to improve the performance of my model.

Packages Used

• pandas
• numpy
• scikit-learn
• matplotlib